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DBMS > DolphinDB vs. NCache vs. Prometheus vs. Warp 10

System Properties Comparison DolphinDB vs. NCache vs. Prometheus vs. Warp 10

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonNCache  Xexclude from comparisonPrometheus  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Open-Source and Enterprise in-memory Key-Value StoreOpen-source TimeSeries DBMS and monitoring systemTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.62
Rank#144  Overall
#9  Time Series DBMS
Score1.05
Rank#179  Overall
#30  Key-value stores
Score6.53
Rank#68  Overall
#4  Time Series DBMS
Score0.19
Rank#295  Overall
#25  Time Series DBMS
Websitewww.dolphindb.comwww.alachisoft.com/­ncacheprometheus.iowww.warp10.io
Technical documentationwww.dolphindb.com/­helpwww.alachisoft.com/­resources/­docsprometheus.io/­docswww.warp10.io/­content/­02_Getting_started
DeveloperDolphinDB, IncAlachisoftSenX
Initial release2018200520152015
Current releasev2.00.4, January 20225.2, April 2021
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoEnterprise Edition availableOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
NCache Cloud: NCache Cloud is available in Azure and AWS Marketplaces as a Service. This means you can now obtain it instantaneously with a few mouse clicks, and seamlessly scale your cache deployment without any down time.
Implementation languageC++C#, .NET, .NET Core, JavaGoJava
Server operating systemsLinux
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and CounterNumeric data onlyyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infoImport of XML data possibleno
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like query languageSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.nono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
IDistributedCache
JCache
LINQ
Proprietary native API
RESTful HTTP/JSON APIHTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Visual Basic.NET
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesno infosupport for stored procedures with SQL-Server CLRnoyes infoWarpScript
Triggersnoyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency levelyes infoby Federationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
noneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesoptimistic locking and pessimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAdministrators, Users, GroupsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)noMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DolphinDBNCachePrometheusWarp 10
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
News

NCache 5.3 SP1 Released
14 September 2022

Quickstart: NCache Python Client
20 June 2022

Scaling Full Text Indexing Using NCache Distributed Lucene
10 June 2022

Session Storage in ASP.NET Core Using NCache
3 June 2022

NCache 5.3 Released
19 April 2022

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DolphinDBNCachePrometheusWarp 10
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